Plant lipidomics based on hydrophilic interaction chromatography coupled to ion trap time-of-flight mass spectrometry.
Plant lipidomics based on hydrophilic interaction chromatography coupled to ion trap time-of-flight mass spectrometry.
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DOI：
10.1007/s11306-011-0318-z
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发表时间：
2013-03
期刊：
影响因子：
3.6
通讯作者：
Saito, Kazuki
中科院分区：
文献类型：
--
作者：
Okazaki, Yozo;Kamide, Yukiko;Hirai, Masami Yokota;Saito, Kazuki
关键词：
植物合成了广泛的疏水化合物，通常称为脂质。在这里，我们报告了液相色谱离子阱飞行时间质谱（LC-IT-TOF-MS）在植物脂类组学中的应用。利用亲水相互作用色谱（HILIC）进行类分离，同时分析了典型的膜脂（包括甘油脂、甾醇糖苷和葡萄糖神经酰胺）和疏水性植物次生代谢产物（如皂苷）。通过这种方法，我们注释了大约100个来自拟南芥的分子。为了证明这种方法在生物学研究中的应用，我们分析了拟南芥突变体三半乳糖基二酰基甘油3（tgd 3），它具有复杂的代谢表型，包括不寻常形式的半乳糖脂的积累。通过LC-MS进行的脂质分析显示，tgd 3积累了一种不寻常形式的二半乳糖基二酰基甘油，注释为Gal（β1 → 6）βGalDG。通过该方法检测了正常和异常形式的二半乳糖基二酰甘油之间的组成差异。此外，我们分析了众所周知的拟南芥突变体ats 1 -1，fad 6 -1和fad 7 -2，它们也在脂质代谢基因中被破坏。结合多变量分析的非靶向脂质组分析清楚地区分了突变体及其独特的代谢产物。这些结果表明，HILIC-MS是一种有效的植物脂类组学研究方法。本文的在线版本（doi：10.1007/s11306-011-0318-z）包含补充材料，可供授权用户使用。
Plants synthesize a wide range of hydrophobic compounds, generally known as lipids. Here, we report an application of liquid chromatography ion trap time-of-flight mass spectrometry (LC-IT-TOF-MS) for plant lipidomics. Using hydrophilic interaction chromatography (HILIC) for class separation, typical membrane lipids including glycerolipids, steryl glucosides and glucosylceramides, and hydrophobic plant secondary metabolites such as saponins were analyzed simultaneously. By this method, we annotated approximately 100 molecules from Arabidopsis thaliana. To demonstrate the application of this method to biological study, we analyzed Arabidopsis mutant trigalactosyldiacylglycerol3 (tgd3), which has a complex metabolic phenotype including the accumulation of unusual forms of galactolipids. Lipid profiling by LC-MS revealed that tgd3 accumulated an unusual form of digalactosyldiacylglycerol, annotated as Gal(β1 → 6)βGalDG. The compositional difference between normal and unusual forms of digalactosyldiacylglycerol was detected by this method. In addition, we analyzed well-known Arabidopsis mutants ats1-1, fad6-1, and fad7-2, which are also disrupted in lipid metabolic genes. Untargeted lipidome analysis coupled with multivariate analysis clearly discriminated the mutants and their distinctive metabolites. These results indicated that HILIC-MS is an efficient method for plant lipidomics. The online version of this article (doi:10.1007/s11306-011-0318-z) contains supplementary material, which is available to authorized users.
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影响因子：
2
作者：
Markham, Jonathan E.;Jaworski, Jan G.
通讯作者：
Jaworski, Jan G.
DOI：
10.1016/j.jchromb.2004.07.001
发表时间：
2004-10-25
影响因子：
3
作者：
Malavolta, M;Bocci, F;Frega, NG
通讯作者：
Frega, NG
影响因子：
56.9
作者：
Dörmann, P;Balbo, I;Benning, C
通讯作者：
Benning, C
影响因子：
7.4
作者：
Beaudoin, Frederic;Wu, Xianzhong;Kunst, Ljerka
通讯作者：
Kunst, Ljerka
DOI：
10.1073/pnas.0907173106
发表时间：
2009-12-08
影响因子：
11.1
作者：
Nakamura, Yuki;Koizumi, Ryota;Ohta, Hiroyuki
通讯作者：
Ohta, Hiroyuki